EDA Report

Dataset statistics

Number of variables	18
Number of observations	18207
Missing cells	878
Missing cells (%)	0.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.7 MiB
Average record size in memory	498.7 B

Variable types

Numeric	10
Text	3
Categorical	4
DateTime	1

Alerts

`Age` is highly overall correlated with `ID`	High correlation
`Height` is highly overall correlated with `Weight`	High correlation
`ID` is highly overall correlated with `Age` and 1 other fields	High correlation
`International Reputation` is highly overall correlated with `Overall` and 1 other fields	High correlation
`Overall` is highly overall correlated with `ID` and 5 other fields	High correlation
`Position` is highly overall correlated with `Skill Moves`	High correlation
`Potential` is highly overall correlated with `Overall` and 3 other fields	High correlation
`Release Clause` is highly overall correlated with `Overall` and 3 other fields	High correlation
`Skill Moves` is highly overall correlated with `Position`	High correlation
`Value` is highly overall correlated with `Overall` and 3 other fields	High correlation
`Wage` is highly overall correlated with `International Reputation` and 4 other fields	High correlation
`Weight` is highly overall correlated with `Height`	High correlation
`International Reputation` is highly imbalanced (77.7%)	Imbalance
`Club` has 241 (1.3%) missing values	Missing
`Value` has 252 (1.4%) missing values	Missing
`Contract Valid Until` has 289 (1.6%) missing values	Missing
`ID` has unique values	Unique
`Wage` has 241 (1.3%) zeros	Zeros

Reproduction

Analysis started	2025-01-02 16:28:42.537446
Analysis finished	2025-01-02 16:29:11.341206
Duration	28.8 seconds
Software version	ydata-profiling vv4.12.1
Download configuration	config.json

ID
Real number (ℝ)

High correlation Unique

Distinct	18207
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	214298.34

Minimum	16
Maximum	246620
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	16
5-th percentile	163964
Q1	200315.5
median	221759
Q3	236529.5
95-th percentile	244735.7
Maximum	246620
Range	246604
Interquartile range (IQR)	36214

Descriptive statistics

Standard deviation	29965.244
Coefficient of variation (CV)	0.13982957
Kurtosis	9.6094996
Mean	214298.34
Median Absolute Deviation (MAD)	17325
Skewness	-2.2679827
Sum	3.9017299 × 10⁹
Variance	8.9791586 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
158023	1	< 0.1%
245008	1	< 0.1%
169489	1	< 0.1%
232465	1	< 0.1%
228625	1	< 0.1%
227857	1	< 0.1%
225809	1	< 0.1%
209425	1	< 0.1%
172560	1	< 0.1%
199442	1	< 0.1%
Other values (18197)	18197	99.9%

Value	Count	Frequency (%)
16	1	< 0.1%
41	1	< 0.1%
80	1	< 0.1%
164	1	< 0.1%
657	1	< 0.1%
768	1	< 0.1%
1179	1	< 0.1%
2147	1	< 0.1%
2335	1	< 0.1%
2702	1	< 0.1%

Value	Count	Frequency (%)
246620	1	< 0.1%
246617	1	< 0.1%
246616	1	< 0.1%
246613	1	< 0.1%
246609	1	< 0.1%
246608	1	< 0.1%
246606	1	< 0.1%
246603	1	< 0.1%
246602	1	< 0.1%
246601	1	< 0.1%

Name
Text

Distinct	17194
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	22
Median length	20
Mean length	10.018235
Min length	2

Characters and Unicode

Total characters	182402
Distinct characters	136
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16432 ?
Unique (%)	90.3%

Sample

1st row	L. Messi
2nd row	Cristiano Ronaldo
3rd row	Neymar Jr
4th row	De Gea
5th row	K. De Bruyne

Value	Count	Frequency (%)
m	1775	4.9%
j	1630	4.5%
a	1529	4.2%
s	1024	2.8%
d	945	2.6%
l	777	2.1%
c	766	2.1%
r	764	2.1%
f	609	1.7%
t	602	1.6%
Other values (13612)	26115	71.5%

Most occurring characters

Value	Count	Frequency (%)
	18329	10.0%
.	15182	8.3%
a	14163	7.8%
e	11538	6.3%
o	9742	5.3%
i	9544	5.2%
n	9283	5.1%
r	8955	4.9%
l	6525	3.6%
s	5471	3.0%
Other values (126)	73670	40.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	182402	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	18329	10.0%
.	15182	8.3%
a	14163	7.8%
e	11538	6.3%
o	9742	5.3%
i	9544	5.2%
n	9283	5.1%
r	8955	4.9%
l	6525	3.6%
s	5471	3.0%
Other values (126)	73670	40.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	182402	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	18329	10.0%
.	15182	8.3%
a	14163	7.8%
e	11538	6.3%
o	9742	5.3%
i	9544	5.2%
n	9283	5.1%
r	8955	4.9%
l	6525	3.6%
s	5471	3.0%
Other values (126)	73670	40.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	182402	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	18329	10.0%
.	15182	8.3%
a	14163	7.8%
e	11538	6.3%
o	9742	5.3%
i	9544	5.2%
n	9283	5.1%
r	8955	4.9%
l	6525	3.6%
s	5471	3.0%
Other values (126)	73670	40.4%

Age
Real number (ℝ)

High correlation

Distinct	29
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.122206

Minimum	16
Maximum	45
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	16
5-th percentile	18
Q1	21
median	25
Q3	28
95-th percentile	33
Maximum	45
Range	29
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.6699427
Coefficient of variation (CV)	0.18588904
Kurtosis	-0.45951355
Mean	25.122206
Median Absolute Deviation (MAD)	4
Skewness	0.39176414
Sum	457400
Variance	21.808365
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
21	1423	7.8%
26	1387	7.6%
24	1358	7.5%
22	1340	7.4%
23	1332	7.3%
25	1319	7.2%
20	1240	6.8%
27	1162	6.4%
28	1101	6.0%
19	1024	5.6%
Other values (19)	5521	30.3%

Value	Count	Frequency (%)
16	42	0.2%
17	289	1.6%
18	732	4.0%
19	1024	5.6%
20	1240	6.8%
21	1423	7.8%
22	1340	7.4%
23	1332	7.3%
24	1358	7.5%
25	1319	7.2%

Value	Count	Frequency (%)
45	1	< 0.1%
44	2	< 0.1%
42	1	< 0.1%
41	5	< 0.1%
40	13	0.1%
39	25	0.1%
38	37	0.2%
37	82	0.5%
36	127	0.7%
35	196	1.1%

Nationality
Text

Distinct	164
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Length

Max length	20
Median length	18
Mean length	7.6247597
Min length	4

Characters and Unicode

Total characters	138824
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	0.1%

Sample

1st row	Argentina
2nd row	Portugal
3rd row	Brazil
4th row	Spain
5th row	Belgium

Value	Count	Frequency (%)
england	1662	7.9%
germany	1198	5.7%
spain	1072	5.1%
argentina	937	4.5%
france	914	4.3%
brazil	827	3.9%
republic	805	3.8%
italy	702	3.3%
colombia	618	2.9%
japan	478	2.3%
Other values (181)	11825	56.2%

Most occurring characters

Value	Count	Frequency (%)
a	18517	13.3%
n	13782	9.9%
e	11179	8.1%
r	9371	6.8%
i	9290	6.7%
l	8454	6.1%
o	5461	3.9%
t	5077	3.7%
d	4931	3.6%
g	4088	2.9%
Other values (47)	48674	35.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	138824	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	18517	13.3%
n	13782	9.9%
e	11179	8.1%
r	9371	6.8%
i	9290	6.7%
l	8454	6.1%
o	5461	3.9%
t	5077	3.7%
d	4931	3.6%
g	4088	2.9%
Other values (47)	48674	35.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	138824	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	18517	13.3%
n	13782	9.9%
e	11179	8.1%
r	9371	6.8%
i	9290	6.7%
l	8454	6.1%
o	5461	3.9%
t	5077	3.7%
d	4931	3.6%
g	4088	2.9%
Other values (47)	48674	35.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	138824	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	18517	13.3%
n	13782	9.9%
e	11179	8.1%
r	9371	6.8%
i	9290	6.7%
l	8454	6.1%
o	5461	3.9%
t	5077	3.7%
d	4931	3.6%
g	4088	2.9%
Other values (47)	48674	35.1%

Overall
Real number (ℝ)

High correlation

Distinct	48
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66.238699

Minimum	46
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	46
5-th percentile	54
Q1	62
median	66
Q3	71
95-th percentile	77
Maximum	94
Range	48
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.9089296
Coefficient of variation (CV)	0.10430352
Kurtosis	0.096568667
Mean	66.238699
Median Absolute Deviation (MAD)	4
Skewness	0.067184922
Sum	1206008
Variance	47.733308
Monotonicity	Decreasing

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
66	1163	6.4%
67	1118	6.1%
64	1091	6.0%
65	1045	5.7%
68	1035	5.7%
63	1002	5.5%
69	973	5.3%
70	889	4.9%
62	878	4.8%
71	783	4.3%
Other values (38)	8230	45.2%

Value	Count	Frequency (%)
46	1	< 0.1%
47	20	0.1%
48	32	0.2%
49	36	0.2%
50	103	0.6%
51	125	0.7%
52	159	0.9%
53	199	1.1%
54	250	1.4%
55	265	1.5%

Value	Count	Frequency (%)
94	2	< 0.1%
92	1	< 0.1%
91	6	< 0.1%
90	5	< 0.1%
89	11	0.1%
88	17	0.1%
87	13	0.1%
86	22	0.1%
85	33	0.2%
84	45	0.2%

Potential
Real number (ℝ)

High correlation

Distinct	47
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.307299

Minimum	48
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	48
5-th percentile	62
Q1	67
median	71
Q3	75
95-th percentile	82
Maximum	95
Range	47
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.1364956
Coefficient of variation (CV)	0.086057047
Kurtosis	0.035825808
Mean	71.307299
Median Absolute Deviation (MAD)	4
Skewness	0.2661536
Sum	1298292
Variance	37.656578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	1203	6.6%
69	1175	6.5%
71	1140	6.3%
68	1136	6.2%
72	1122	6.2%
73	1051	5.8%
74	1015	5.6%
66	996	5.5%
67	991	5.4%
75	951	5.2%
Other values (37)	7427	40.8%

Value	Count	Frequency (%)
48	2	< 0.1%
50	2	< 0.1%
51	2	< 0.1%
52	10	0.1%
53	6	< 0.1%
54	7	< 0.1%
55	18	0.1%
56	24	0.1%
57	47	0.3%
58	87	0.5%

Value	Count	Frequency (%)
95	1	< 0.1%
94	3	< 0.1%
93	4	< 0.1%
92	9	< 0.1%
91	12	0.1%
90	21	0.1%
89	33	0.2%
88	48	0.3%
87	61	0.3%
86	82	0.5%

Club
Text

Missing

Distinct	651
Distinct (%)	3.6%
Missing	241
Missing (%)	1.3%
Memory size	1.3 MiB

Length

Max length	35
Median length	25
Mean length	13.442836
Min length	3

Characters and Unicode

Total characters	241514
Distinct characters	103
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FC Barcelona
2nd row	Juventus
3rd row	Paris Saint-Germain
4th row	Manchester United
5th row	Manchester City

Value	Count	Frequency (%)
fc	2860	7.3%
de	765	2.0%
club	638	1.6%
united	542	1.4%
city	541	1.4%
al	414	1.1%
cd	391	1.0%
atlético	380	1.0%
town	324	0.8%
cf	318	0.8%
Other values (936)	31840	81.6%

Most occurring characters

Value	Count	Frequency (%)
	21076	8.7%
a	19108	7.9%
e	18850	7.8%
n	14540	6.0%
o	13417	5.6%
r	13217	5.5%
i	12655	5.2%
l	10818	4.5%
t	10313	4.3%
s	8691	3.6%
Other values (93)	98829	40.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	241514	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	21076	8.7%
a	19108	7.9%
e	18850	7.8%
n	14540	6.0%
o	13417	5.6%
r	13217	5.5%
i	12655	5.2%
l	10818	4.5%
t	10313	4.3%
s	8691	3.6%
Other values (93)	98829	40.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	241514	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	21076	8.7%
a	19108	7.9%
e	18850	7.8%
n	14540	6.0%
o	13417	5.6%
r	13217	5.5%
i	12655	5.2%
l	10818	4.5%
t	10313	4.3%
s	8691	3.6%
Other values (93)	98829	40.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	241514	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	21076	8.7%
a	19108	7.9%
e	18850	7.8%
n	14540	6.0%
o	13417	5.6%
r	13217	5.5%
i	12655	5.2%
l	10818	4.5%
t	10313	4.3%
s	8691	3.6%
Other values (93)	98829	40.9%

Value
Real number (ℝ)

High correlation Missing

Distinct	216
Distinct (%)	1.2%
Missing	252
Missing (%)	1.4%
Infinite	0
Infinite (%)	0.0%
Mean	2444.5302

Minimum	10
Maximum	118500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	10
5-th percentile	100
Q1	325
median	700
Q3	2100
95-th percentile	10000
Maximum	118500
Range	118490
Interquartile range (IQR)	1775

Descriptive statistics

Standard deviation	5626.7154
Coefficient of variation (CV)	2.3017574
Kurtosis	76.003054
Mean	2444.5302
Median Absolute Deviation (MAD)	490
Skewness	7.0316107
Sum	43891540
Variance	31659927
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1100	431	2.4%
375	372	2.0%
425	354	1.9%
325	351	1.9%
450	343	1.9%
525	338	1.9%
350	325	1.8%
1200	324	1.8%
400	323	1.8%
1000	318	1.7%
Other values (206)	14476	79.5%

Value	Count	Frequency (%)
10	15	0.1%
20	21	0.1%
30	23	0.1%
40	65	0.4%
50	127	0.7%
60	150	0.8%
70	139	0.8%
80	114	0.6%
90	136	0.7%
100	178	1.0%

Value	Count	Frequency (%)
118500	1	< 0.1%
110500	1	< 0.1%
102000	1	< 0.1%
93000	1	< 0.1%
89000	1	< 0.1%
83500	1	< 0.1%
81000	1	< 0.1%
80000	1	< 0.1%
78000	1	< 0.1%
77000	2	< 0.1%

Wage
Real number (ℝ)

High correlation Zeros

Distinct	144
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.7313121

Minimum	0
Maximum	565
Zeros	241
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	3
Q3	9
95-th percentile	39
Maximum	565
Range	565
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	21.99929
Coefficient of variation (CV)	2.2606705
Kurtosis	100.71241
Mean	9.7313121
Median Absolute Deviation (MAD)	2
Skewness	7.9060189
Sum	177178
Variance	483.96878
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	4900	26.9%
2	2827	15.5%
3	1857	10.2%
4	1255	6.9%
5	869	4.8%
6	682	3.7%
7	488	2.7%
8	423	2.3%
9	328	1.8%
10	319	1.8%
Other values (134)	4259	23.4%

Value	Count	Frequency (%)
0	241	1.3%
1	4900	26.9%
2	2827	15.5%
3	1857	10.2%
4	1255	6.9%
5	869	4.8%
6	682	3.7%
7	488	2.7%
8	423	2.3%
9	328	1.8%

Value	Count	Frequency (%)
565	1	< 0.1%
455	1	< 0.1%
420	1	< 0.1%
405	1	< 0.1%
380	1	< 0.1%
355	3	< 0.1%
340	2	< 0.1%
315	3	< 0.1%
300	1	< 0.1%
290	1	< 0.1%

Preferred Foot
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Right	13996
Left	4211

Length

Max length	5
Median length	5
Mean length	4.7687153
Min length	4

Characters and Unicode

Total characters	86824
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Left
2nd row	Right
3rd row	Right
4th row	Right
5th row	Right

Common Values

Value	Count	Frequency (%)
Right	13996	76.9%
Left	4211	23.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
right	13996	76.9%
left	4211	23.1%

Most occurring characters

Value	Count	Frequency (%)
t	18207	21.0%
R	13996	16.1%
i	13996	16.1%
g	13996	16.1%
h	13996	16.1%
L	4211	4.9%
e	4211	4.9%
f	4211	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	86824	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	18207	21.0%
R	13996	16.1%
i	13996	16.1%
g	13996	16.1%
h	13996	16.1%
L	4211	4.9%
e	4211	4.9%
f	4211	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	86824	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	18207	21.0%
R	13996	16.1%
i	13996	16.1%
g	13996	16.1%
h	13996	16.1%
L	4211	4.9%
e	4211	4.9%
f	4211	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	86824	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	18207	21.0%
R	13996	16.1%
i	13996	16.1%
g	13996	16.1%
h	13996	16.1%
L	4211	4.9%
e	4211	4.9%
f	4211	4.9%

International Reputation
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	48
Missing (%)	0.3%
Memory size	1.0 MiB

1.0	16532
2.0	1261
3.0	309
4.0	51
5.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	54477
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	5.0
3rd row	5.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
1.0	16532	90.8%
2.0	1261	6.9%
3.0	309	1.7%
4.0	51	0.3%
5.0	6	< 0.1%
(Missing)	48	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	16532	91.0%
2.0	1261	6.9%
3.0	309	1.7%
4.0	51	0.3%
5.0	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
1	16532	30.3%
2	1261	2.3%
3	309	0.6%
4	51	0.1%
5	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	54477	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
1	16532	30.3%
2	1261	2.3%
3	309	0.6%
4	51	0.1%
5	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	54477	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
1	16532	30.3%
2	1261	2.3%
3	309	0.6%
4	51	0.1%
5	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	54477	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
1	16532	30.3%
2	1261	2.3%
3	309	0.6%
4	51	0.1%
5	6	< 0.1%

Skill Moves
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	48
Missing (%)	0.3%
Memory size	1.0 MiB

2.0	8565
3.0	6600
1.0	2026
4.0	917
5.0	51

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	54477
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	5.0
3rd row	5.0
4th row	1.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
2.0	8565	47.0%
3.0	6600	36.2%
1.0	2026	11.1%
4.0	917	5.0%
5.0	51	0.3%
(Missing)	48	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	8565	47.2%
3.0	6600	36.3%
1.0	2026	11.2%
4.0	917	5.0%
5.0	51	0.3%

Most occurring characters

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
2	8565	15.7%
3	6600	12.1%
1	2026	3.7%
4	917	1.7%
5	51	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	54477	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
2	8565	15.7%
3	6600	12.1%
1	2026	3.7%
4	917	1.7%
5	51	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	54477	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
2	8565	15.7%
3	6600	12.1%
1	2026	3.7%
4	917	1.7%
5	51	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	54477	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	18159	33.3%
0	18159	33.3%
2	8565	15.7%
3	6600	12.1%
1	2026	3.7%
4	917	1.7%
5	51	0.1%

Position
Categorical

High correlation

Distinct	27
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

ST	2154
GK	2027
CB	1779
CM	1395
LB	1372
Other values (22)	9480

Length

Max length	3
Median length	2
Mean length	2.2581974
Min length	2

Characters and Unicode

Total characters	41115
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RF
2nd row	ST
3rd row	LW
4th row	GK
5th row	RCM

Common Values

Value	Count	Frequency (%)
ST	2154	11.8%
GK	2027	11.1%
CB	1779	9.8%
CM	1395	7.7%
LB	1372	7.5%
RB	1291	7.1%
RM	1127	6.2%
LM	1095	6.0%
CAM	959	5.3%
CDM	948	5.2%
Other values (17)	4060	22.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
st	2154	11.8%
gk	2027	11.1%
cb	1779	9.8%
cm	1395	7.7%
lb	1372	7.5%
rb	1291	7.1%
rm	1127	6.2%
lm	1095	6.0%
cam	959	5.3%
cdm	948	5.2%
Other values (17)	4060	22.3%

Most occurring characters

Value	Count	Frequency (%)
C	7251	17.6%
M	6843	16.6%
B	5917	14.4%
L	4455	10.8%
R	4416	10.7%
S	2564	6.2%
T	2154	5.2%
G	2027	4.9%
K	2027	4.9%
D	1439	3.5%
Other values (3)	2022	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41115	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	7251	17.6%
M	6843	16.6%
B	5917	14.4%
L	4455	10.8%
R	4416	10.7%
S	2564	6.2%
T	2154	5.2%
G	2027	4.9%
K	2027	4.9%
D	1439	3.5%
Other values (3)	2022	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41115	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	7251	17.6%
M	6843	16.6%
B	5917	14.4%
L	4455	10.8%
R	4416	10.7%
S	2564	6.2%
T	2154	5.2%
G	2027	4.9%
K	2027	4.9%
D	1439	3.5%
Other values (3)	2022	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41115	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	7251	17.6%
M	6843	16.6%
B	5917	14.4%
L	4455	10.8%
R	4416	10.7%
S	2564	6.2%
T	2154	5.2%
G	2027	4.9%
K	2027	4.9%
D	1439	3.5%
Other values (3)	2022	4.9%

Joined
Real number (ℝ)

Distinct	22
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2016.4206

Minimum	1991
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	1991
5-th percentile	2012
Q1	2016
median	2017
Q3	2018
95-th percentile	2018
Maximum	2018
Range	27
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.018194
Coefficient of variation (CV)	0.0010008795
Kurtosis	10.978378
Mean	2016.4206
Median Absolute Deviation (MAD)	1
Skewness	-2.5756363
Sum	36712970
Variance	4.0731071
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2018	6569	36.1%
2017	4307	23.7%
2016	3799	20.9%
2015	1336	7.3%
2014	818	4.5%
2013	458	2.5%
2012	340	1.9%
2011	201	1.1%
2010	131	0.7%
2009	78	0.4%
Other values (12)	170	0.9%

Value	Count	Frequency (%)
1991	1	< 0.1%
1998	3	< 0.1%
1999	1	< 0.1%
2000	2	< 0.1%
2001	2	< 0.1%
2002	10	0.1%
2003	13	0.1%
2004	12	0.1%
2005	17	0.1%
2006	18	0.1%

Value	Count	Frequency (%)
2018	6569	36.1%
2017	4307	23.7%
2016	3799	20.9%
2015	1336	7.3%
2014	818	4.5%
2013	458	2.5%
2012	340	1.9%
2011	201	1.1%
2010	131	0.7%
2009	78	0.4%

Contract Valid Until
Date

Missing

Distinct	35
Distinct (%)	0.2%
Missing	289
Missing (%)	1.6%
Memory size	142.4 KiB

Minimum	2018-01-01 00:00:00
Maximum	2026-01-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=35)

Height
Real number (ℝ)

High correlation

Distinct	22
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.9467711

Minimum	5.0833333
Maximum	6.75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	5.0833333
5-th percentile	5.5833333
Q1	5.75
median	5.9166667
Q3	6.0833333
95-th percentile	6.3333333
Maximum	6.75
Range	1.6666667
Interquartile range (IQR)	0.33333333

Descriptive statistics

Standard deviation	0.22051403
Coefficient of variation (CV)	0.037081304
Kurtosis	-0.22145276
Mean	5.9467711
Median Absolute Deviation (MAD)	0.16666667
Skewness	-0.015476347
Sum	108272.86
Variance	0.048626436
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
6	2881	15.8%
5.833333333	2479	13.6%
5.75	2238	12.3%
5.916666667	2159	11.9%
6.166666667	2015	11.1%
6.083333333	1908	10.5%
6.25	990	5.4%
5.666666667	946	5.2%
5.583333333	905	5.0%
6.333333333	749	4.1%
Other values (12)	937	5.1%

Value	Count	Frequency (%)
5.083333333	3	< 0.1%
5.166666667	5	< 0.1%
5.25	18	0.1%
5.333333333	30	0.2%
5.416666667	145	0.8%
5.5	316	1.7%
5.583333333	905	5.0%
5.666666667	946	5.2%
5.75	2238	12.3%
5.833333333	2479	13.6%

Value	Count	Frequency (%)
6.75	2	< 0.1%
6.666666667	10	0.1%
6.583333333	21	0.1%
6.5	93	0.5%
6.416666667	246	1.4%
6.333333333	749	4.1%
6.25	990	5.4%
6.166666667	2015	11.1%
6.083333333	1908	10.5%
6	2881	15.8%

Weight
Real number (ℝ)

High correlation

Distinct	58
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	165.97913

Minimum	110
Maximum	243
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	110
5-th percentile	141
Q1	154
median	165
Q3	176
95-th percentile	194
Maximum	243
Range	133
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	15.572775
Coefficient of variation (CV)	0.093823694
Kurtosis	0.099552468
Mean	165.97913
Median Absolute Deviation (MAD)	11
Skewness	0.21687243
Sum	3021982
Variance	242.51132
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
165	1483	8.1%
154	1439	7.9%
176	1041	5.7%
172	987	5.4%
159	946	5.2%
161	936	5.1%
163	901	4.9%
170	860	4.7%
168	836	4.6%
174	705	3.9%
Other values (48)	8073	44.3%

Value	Count	Frequency (%)
110	2	< 0.1%
115	1	< 0.1%
117	6	< 0.1%
119	4	< 0.1%
121	10	0.1%
123	18	0.1%
126	14	0.1%
128	31	0.2%
130	33	0.2%
132	127	0.7%

Value	Count	Frequency (%)
243	1	< 0.1%
236	2	< 0.1%
234	1	< 0.1%
229	1	< 0.1%
227	2	< 0.1%
225	3	< 0.1%
223	3	< 0.1%
220	1	< 0.1%
218	5	< 0.1%
216	9	< 0.1%

Release Clause
Real number (ℝ)

High correlation

Distinct	1245
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4585.061

Minimum	13
Maximum	228100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.4 KiB

Quantile statistics

Minimum	13
5-th percentile	179.3
Q1	570
median	1300
Q3	4585.0608
95-th percentile	18600
Maximum	228100
Range	228087
Interquartile range (IQR)	4015.0608

Descriptive statistics

Standard deviation	10630.414
Coefficient of variation (CV)	2.3184892
Kurtosis	84.675754
Mean	4585.061
Median Absolute Deviation (MAD)	987
Skewness	7.4363962
Sum	83480205
Variance	1.1300571 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4585.060806	1564	8.6%
1100	557	3.1%
1300	423	2.3%
1400	386	2.1%
1200	385	2.1%
1500	337	1.9%
1600	318	1.7%
1000	286	1.6%
1800	246	1.4%
1700	216	1.2%
Other values (1235)	13489	74.1%

Value	Count	Frequency (%)
13	5	< 0.1%
15	3	< 0.1%
17	1	< 0.1%
18	4	< 0.1%
22	2	< 0.1%
25	10	0.1%
27	1	< 0.1%
29	1	< 0.1%
31	1	< 0.1%
32	1	< 0.1%

Value	Count	Frequency (%)
228100	1	< 0.1%
226500	1	< 0.1%
196400	1	< 0.1%
172100	1	< 0.1%
166100	1	< 0.1%
165800	1	< 0.1%
164000	1	< 0.1%
160700	1	< 0.1%
156800	1	< 0.1%
156200	1	< 0.1%

	Age	Height	ID	International Reputation	Joined	Overall	Position	Potential	Preferred Foot	Release Clause	Skill Moves	Value	Wage	Weight
Age	1.000	0.087	-0.761	0.140	-0.111	0.483	0.089	-0.263	0.022	0.143	0.101	0.226	0.322	0.230
Height	0.087	1.000	-0.096	0.016	-0.001	0.038	0.207	-0.010	0.081	-0.009	0.230	-0.010	0.018	0.755
ID	-0.761	-0.096	1.000	0.197	0.195	-0.540	0.069	0.025	0.016	-0.286	0.107	-0.355	-0.421	-0.202
International Reputation	0.140	0.016	0.197	1.000	0.083	0.505	0.080	0.293	0.000	0.453	0.180	0.480	0.505	0.045
Joined	-0.111	-0.001	0.195	0.083	1.000	-0.151	0.041	-0.092	0.021	-0.161	0.039	-0.125	-0.119	-0.016
Overall	0.483	0.038	-0.540	0.505	-0.151	1.000	0.096	0.625	0.056	0.854	0.290	0.937	0.778	0.147
Position	0.089	0.207	0.069	0.080	0.041	0.096	1.000	0.065	0.486	0.084	0.571	0.121	0.099	0.185
Potential	-0.263	-0.010	0.025	0.293	-0.092	0.625	0.065	1.000	0.039	0.776	0.230	0.770	0.535	-0.011
Preferred Foot	0.022	0.081	0.016	0.000	0.021	0.056	0.486	0.039	1.000	0.000	0.120	0.000	0.000	0.072
Release Clause	0.143	-0.009	-0.286	0.453	-0.161	0.854	0.084	0.776	0.000	1.000	0.190	0.945	0.721	0.049
Skill Moves	0.101	0.230	0.107	0.180	0.039	0.290	0.571	0.230	0.120	0.190	1.000	0.195	0.142	0.197
Value	0.226	-0.010	-0.355	0.480	-0.125	0.937	0.121	0.770	0.000	0.945	0.195	1.000	0.776	0.068
Wage	0.322	0.018	-0.421	0.505	-0.119	0.778	0.099	0.535	0.000	0.721	0.142	0.776	1.000	0.084
Weight	0.230	0.755	-0.202	0.045	-0.016	0.147	0.185	-0.011	0.072	0.049	0.197	0.068	0.084	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	ID	Name	Age	Nationality	Overall	Potential	Club	Value	Wage	Preferred Foot	International Reputation	Skill Moves	Position	Joined	Contract Valid Until	Height	Weight	Release Clause
0	158023	L. Messi	31	Argentina	94	94	FC Barcelona	110500.0	565.0	Left	5.0	4.0	RF	2004	2021-01-01	5.583333	159.0	226500.0
1	20801	Cristiano Ronaldo	33	Portugal	94	94	Juventus	77000.0	405.0	Right	5.0	5.0	ST	2018	2022-01-01	6.166667	183.0	127100.0
2	190871	Neymar Jr	26	Brazil	92	93	Paris Saint-Germain	118500.0	290.0	Right	5.0	5.0	LW	2017	2022-01-01	5.750000	150.0	228100.0
3	193080	De Gea	27	Spain	91	93	Manchester United	72000.0	260.0	Right	4.0	1.0	GK	2011	2020-01-01	6.333333	168.0	138600.0
4	192985	K. De Bruyne	27	Belgium	91	92	Manchester City	102000.0	355.0	Right	4.0	4.0	RCM	2015	2023-01-01	5.916667	154.0	196400.0
5	183277	E. Hazard	27	Belgium	91	91	Chelsea	93000.0	340.0	Right	4.0	4.0	LF	2012	2020-01-01	5.666667	163.0	172100.0
6	177003	L. Modrić	32	Croatia	91	91	Real Madrid	67000.0	420.0	Right	4.0	4.0	RCM	2012	2020-01-01	5.666667	146.0	137400.0
7	176580	L. Suárez	31	Uruguay	91	91	FC Barcelona	80000.0	455.0	Right	5.0	3.0	RS	2014	2021-01-01	6.000000	190.0	164000.0
8	155862	Sergio Ramos	32	Spain	91	91	Real Madrid	51000.0	380.0	Right	4.0	3.0	RCB	2005	2020-01-01	6.000000	181.0	104600.0
9	200389	J. Oblak	25	Slovenia	90	93	Atlético Madrid	68000.0	94.0	Right	3.0	1.0	GK	2014	2021-01-01	6.166667	192.0	144500.0

	ID	Name	Age	Nationality	Overall	Potential	Club	Value	Wage	Preferred Foot	International Reputation	Skill Moves	Position	Joined	Contract Valid Until	Height	Weight	Release Clause
18197	246167	D. Holland	18	Republic of Ireland	47	61	Cork City	60.0	1.0	Right	1.0	2.0	CM	2018	2018-01-01	5.833333	141.0	88.0
18198	242844	J. Livesey	18	England	47	70	Burton Albion	60.0	1.0	Right	1.0	1.0	GK	2018	2021-01-01	5.916667	154.0	165.0
18199	244677	M. Baldisimo	18	Canada	47	69	Vancouver Whitecaps FC	70.0	1.0	Right	1.0	2.0	CM	2018	2021-01-01	5.500000	150.0	175.0
18200	231381	J. Young	18	Scotland	47	62	Swindon Town	60.0	1.0	Left	1.0	2.0	ST	2015	2019-01-01	5.750000	157.0	143.0
18201	243413	D. Walsh	18	Republic of Ireland	47	68	Waterford FC	60.0	1.0	Left	1.0	2.0	RB	2018	2018-01-01	6.083333	168.0	153.0
18202	238813	J. Lundstram	19	England	47	65	Crewe Alexandra	60.0	1.0	Right	1.0	2.0	CM	2017	2019-01-01	5.750000	134.0	143.0
18203	243165	N. Christoffersson	19	Sweden	47	63	Trelleborgs FF	60.0	1.0	Right	1.0	2.0	ST	2018	2020-01-01	6.250000	170.0	113.0
18204	241638	B. Worman	16	England	47	67	Cambridge United	60.0	1.0	Right	1.0	2.0	ST	2017	2021-01-01	5.666667	148.0	165.0
18205	246268	D. Walker-Rice	17	England	47	66	Tranmere Rovers	60.0	1.0	Right	1.0	2.0	RW	2018	2019-01-01	5.833333	154.0	143.0
18206	246269	G. Nugent	16	England	46	66	Tranmere Rovers	60.0	1.0	Right	1.0	2.0	CM	2018	2019-01-01	5.833333	176.0	165.0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)